Naive Bayes is a popular classification algorithm based on Bayes' theorem, which assumes that features are conditionally independent given the class label. It's commonly used for text classification and other simple classification tasks. In Python, you can implement a Naive Bayes classifier using libraries like scikit-learn. Here's a step-by-step guide to creating a Naive Bayes classifier...